60% of high-priority research goes unfunded.
Survival statistics for childhood osteosarcoma
Survival statistics for childhood osteosarcoma are very general estimates and must be interpreted very carefully. These statistics are based on the experience of groups of children and cannot be used to predict a particular child’s chances of survival.
There are many different ways to measure and report cancer survival statistics. Your child’s doctor can explain the statistics for childhood osteosarcoma and what they mean for your child.
Observed survival is also called overall survival. It is the percentage of children with a certain type of cancer who are expected to live for at least a specified period of time after their diagnosis. Doctors often use the observed survival rate when they talk about a prognosis.
The 5-year observed survival for localized osteosarcoma in children 0–14 years of age is 70%. This means that, on average, 70% of children diagnosed with osteosarcoma (occurring at any site in the body) are expected to live for at least 5 years after their diagnosis.
Observed survival does not consider the cause of death. But of the 30% of children who don’t survive 5 years, most die from the cancer rather than from other causes.
Survival by stage
Survival varies with each stage of childhood osteosarcoma. Generally, if doctors can completely remove the tumour, the outcome is better.
There are no specific Canadian statistics available for the different stages of osteosarcoma in children. The following information comes from a variety of sources. It may include statistics from other countries that are likely to have similar outcomes as in Canada.
|Stage||5-year observed survival|
Questions about survival
Talk to the doctor about prognosis. Prognosis depends on many factors, including the:
- child’s medical history
- type of cancer
- stage of the cancer
- characteristics of the cancer
- treatments chosen
- response to treatment
Only a doctor familiar with these factors can put all of this information together with survival statistics to arrive at a prognosis.